Measurement and analysis of electroencephalogram (EEG) on audiovisual interaction for early clinical detection of neuropsychological disorder

Jingjing Yang, Jinglong Wu, Qi Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The clinical diagnosis can detect the presence of brain disease once significant neuronal disruption has occurred. Early clinical detection of neuropsychological disorder lacks the unification standards. The aim of this study was to describe the neural mechanism of audiovisual interaction in healthy subjects by combining behavior-based methods (neuropsychological testing) and event-related potentials (ERP), and to provide a neural mechanism for early clinical detection. We designed the stimulus onset asynchrony (SOA) between sound and visual (-400 ms, -150 ms, 0 ms, 150 ms, 400 ms, visual only and sound only, each with equal probability, randomly in each trial), so that the subject could not find the cognitive rules connecting the two stimuli. The behavioral results showed that the responses to temporal congruency audiovisual (AV) stimuli were faster than those to unimodal visual(V) stimuli. The ERPs results showed audiovisual interaction elicited by irrelevant auditory(A) stimuli in a visual attention task. This interaction occurred at late stage around 220-240ms and 340-380ms.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages1877-1880
Number of pages4
DOIs
Publication statusPublished - Dec 1 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: Oct 16 2010Oct 18 2010

Publication series

NameProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Volume5

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
CountryChina
CityYantai
Period10/16/1010/18/10

Keywords

  • Audiovisual interaction
  • Electroencephalogram (EEG)
  • Neuropsychological disorder

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Fingerprint Dive into the research topics of 'Measurement and analysis of electroencephalogram (EEG) on audiovisual interaction for early clinical detection of neuropsychological disorder'. Together they form a unique fingerprint.

Cite this